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ZENODO
Software . 2019
License: https://opensource.org/licenses/MIT
Data sources: Datacite
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ZENODO
Software . 2019
License: https://opensource.org/licenses/MIT
Data sources: Datacite
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Software . 2019
License: http://opensource.org/licenses/MIT
Data sources: ZENODO
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The unmixing library: Interactive tools for spectral mixture analysis of multispectral raster data in Python

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 08 Aug 2019Publisher:Zenodo
Authors: Endsley, K. Arthur;

doi: 10.5281/zenodo.3585979 , 10.5281/zenodo.3585978

The unmixing library: Interactive tools for spectral mixture analysis of multispectral raster data in Python

Abstract

This is a library of interactive tools and functions for performing linear spectral mixture analysis (LSMA) and spatially adaptive spectral mixture analysis (SASMA). It supports parallel fully constrained least-squares (FCLS) mixture analysis over multiple processes, allowing for very efficient mapping of endmember abundances, both in the spatially adaptive approach and in regular LSMA.

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Keywords

remote sensing, earth observation, spectral analysis

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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